Approaching near optimal detection performance via stochastic resonance

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2006, Pages

  Chen, Hao ^a   Varshney, Pramod K ^a   Michels, James H ^b   Kay, Steven ^c  

^a SYRACUSE UNIVERSITY   (United States)

^b JHM Technologies   (United States)

^c UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTANT FALSE ALARM RATE (CFAR) RECEIVERS; OPTIMAL DETECTION; PROBABILITY OF DETECTION; STOCHASTIC RESONANCE (SR);

OPTIMAL CONTROL SYSTEMS; PROBABILITY; RESONANCE; STOCHASTIC CONTROL SYSTEMS;

SIGNAL DETECTION;

EID: 33947648940     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. R. Benzi, A. Sutera, and A. Vulpiani, "The mechanism of stochastic resonance," Journal of Physics A: Mathematical and General, vol. 14, pp. L453 - L457, 1981.
2. L. Gammaitoni, P. Hänggi, P. Jung, and F. Marchesoni, "Stochastic resonance," Rev. Mod. Phys., vol. 70, no. 1, pp. 223-287, Jan. 1998.
3. F. Chapeau-Blondeau, "Periodic and aperiodic stochastic resonance with output signal-to-noise ratio exceeding that at the input," International Journal of Bifurcation and Chaos, vol. 9, pp. 267-272, 1999.
4. A. Asdi and A. Tewfik, "Detection of weak signals using adaptive stochastic resonance," in International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 95), vol. 2, May 1995, pp. 1332-1335.
5. S. Zozor and P.-O. Amblard, "On the use of stochastic resonance in sine detection," Signal Processing, vol. 7, pp. 353-367, March 2002.
6. S. Kay, "Can detectability be improved by adding noise?" IEEE Signal Processing Letters, vol. 7, no. 1, pp. 8-10, January 2000.
7. A. A. Saha and G. V. Anand, "Design of detectors based on stochastic resonance," Signal Processing, vol. 83, pp. 1193-1212, 2003.
8. D. Rousseau and F. Chapeau-Blondeau, "Stochastic resonance and improvement by noise in optimal detection strategies," Digital Signal Processing, vol. 15, pp. 19-32, 2005.
9. H. Chen, J. Michels, and P. Varshney, An Optimized Stochastic Resonance Method for Signal Detection and Image Processing, patent pending.
10. H. Chen, PhD dissertation in progress. Syracuse University, Syracuse, NY.